DevOps and infrastructure work for organizations that want delivery to feel boring, in a good way
Software delivery is the part of your business that should feel routine. Code lands, tests run, things deploy, the world keeps turning. I help organizations get to that calm state and stay there.
Whether you're migrating to the cloud, standing up your first CI/CD pipeline, or quietly cleaning up an existing platform, my approach favors practices your team can own and evolve, not black-box solutions that create dependency. Every engagement includes documentation and knowledge transfer so your team can maintain and improve what we build together.
A lot of my job is talking organizations out of things they think they need.
Postgres on a single VM solves a remarkable number of problems people reach for distributed systems to solve. Terraform plus GitHub Actions covers most of what teams imagine they need a full platform team for. A monolith deployed cleanly beats a microservices architecture deployed badly, every time. Picking the right tool to not use is half the value of having a senior engineer in the room.
Where the cutting edge actually helps your organization, I'll bring it. But I'd rather your systems be unremarkable and reliable than impressive and fragile.
DevOps got a reputation as enterprise-only because the original case studies were all enterprise. It doesn't have to be that way.
A 12-person team can absolutely benefit from CI, infrastructure as code, and basic observability, sized down. The principles don't change; the tooling does. You don't need a Kubernetes cluster to get reliable deploys. You don't need to spend five-figures to get good observability. You need someone who knows where the leverage is for an organization your size, and who won't sell you Datadog when a Prometheus on the same box would get you what you need.
Build, test, and deploy pipelines on the platform you already use, in the order you actually need, without surprise weekends
Terraform or Pulumi, version-controlled, reviewable, with state stored somewhere your team can find tomorrow
Docker and Kubernetes when they earn it. A boring single VM when they don't.
Moves to AWS, Azure, or GCP that don't double your bill on the way, and right-sizing the bill once you're there
Metrics, logs, and traces an on-call engineer can actually use, with alerts that wake you up only when something is actually wrong
Operational documentation good enough for a tired engineer at 2am, because that's who actually reads it
Let's talk about what your delivery pipeline looks like now and what it could look like in six months.
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